2681 Javascript Software Engineer jobs in Houston,TX

Bachelor's degree in Engineering or a related field providing a strong understanding of manufacturing processes, production equipment, and industrial operations
Required English language skills
Demonstrated safety mindset aligned with EHS values, maintaining a mature safety culture by encouraging coworkers to follow safety procedures and report hazards before incidents occur
Knowledge of Lean Manufacturing, Six Sigma, or other continuous improvement methodologies is preferred, together with high levels of proactivity and motivation
Proficiency in SAP or other ERP systems is highly preferred, along with substantial experience using Microsoft Office applications for data analysis and documentation
Ability to communicate effectively and work with production team members and other departments, demonstrating strong teamwork, flexibility, and specific technical competencies
Monitor process parameters to ensure compliance with product specifications, safety standards, and environmental requirements defined by company policies and regulations
Plan, coordinate, and monitor daily production activities to meet output and product quality targets established by the steel manufacturing facility
Analyze production data and KPIs, including Production KPIs (OEE), to identify areas for improvement and implement appropriate corrective actions to address process deviations
Identify root causes of process deviations and collaborate with cross-functional teams, including maintenance, quality, and production, to resolve technical issues effectively
Design and implement process improvements to enhance productivity and reduce costs while maintaining product quality and adherence to safety and environmental standards
Participate in continuous improvement initiatives such as Lean, 5S, and Kaizen, and provide training and technical support to operations staff as required

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Senior Machine Learning Engineer

Houston, TX 77002

HybridFlexible Schedule

MSc or PhD degree or equivalent experience in a quantitative field (e.g. Computer Science, Mathematics, Physics, Engineering, or related discipline).
Hands-on experience (typically 5+ years) designing, prototyping, productionizing, maintaining, and scaling ML/data science products in sophisticated environments.
Strong and demonstrable expertise in machine learning algorithms, statistical modelling, and optimisation techniques — with a track record of applying these to build production-grade solutions.
Applied knowledge of data science and ML tools across all stages of the data and model lifecycle.
Thorough understanding of the mathematical foundations of statistics, machine learning, and scientific computing.
Strong programming experience in one or more object-oriented languages (e.g. Python, Go, Java, C++).
Advanced SQL knowledge.
Experience with modern ML engineering practices including MLOps, model lifecycle management, CI/CD, and monitoring.
Knowledge of experimental design, analysis, and scientific methodology.

SmartExplore AI is experimental.